{"article":{"annotation":{"article_id":"zirconia-catalyst-graph-machine-learning-screening-2026","available_at":"2026-10-13T00:52:31.370633Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"8f7283e3cdc1605cc4215e09b6abb791abc8241db04d2e025a14f4df8b7ed801","input_sha256":"00616a283d769b9afbe146c1d0ce15da550ab148f995c8c246bf722795ac28d1","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. Unknown country/city/coordinates remain absent; no automatic geocoding.","Article geometries keep their stated precision and methodology; reproducing them is not independent coordinate verification."],"method":"controlled-rules-v1","places":[{"admin1":null,"city":null,"coordinate_note":null,"coordinate_reference_system":"OGC:CRS84","coordinate_source":null,"country":"DK","evidence":[{"field":"country","language":"en","note":"Explicit preserved editorial country/region; no city or national centroid inferred","source_urls":["https://arxiv.org/abs/2610.13795"]}],"geometry":null,"id":"iso3166-1:DK","kind":"country-or-area","labels":{"ar":"الدانمرك","en":"Denmark","es":"Dinamarca","fr":"Danemark"},"match_status":"candidate","precision":"regional","role":"coverage","uncertainty_m":null}],"rules_sha256":"fb5ad3c27c91cb840f7a0a05f7f64a5cb26ad0374409ff9457f277c7092e22b4","schema_version":1,"subjects":[{"concept_id":"medtop:20000418","confidence":null,"confidence_method":null,"evidence":[{"field":"en.title+en.summary","language":"en","note":"Subject suggested from the title or summary: CO₂","source_urls":["https://arxiv.org/abs/2610.13795"]}],"method":"controlled-rules-v1","rule_id":"climate","status":"candidate"},{"concept_id":"medtop:13000000","confidence":null,"confidence_method":null,"evidence":[{"field":"category+topics","language":"en","note":"Preserved editorial category/topic; broad candidate only","source_urls":["https://arxiv.org/abs/2610.13795"]}],"method":"controlled-rules-v1","rule_id":"science-broad","status":"candidate"}],"taxonomy_revision":"1f2db31d811fca07e99b16d402c10e2cc2965c9df1c7b41d9be348b40a24e7fb","taxonomy_version":"IPTC Media Topics 2026-Q2"},"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=de","category":"science","content":{"key_points":[],"paragraphs":["Untersucht wurden Aluminium, Cadmium, Gallium, Indium und Zink als Dotierstoffe auf ZrO₂(101)-Oberflächen. Das WWL-GPR-Verfahren bildet Oberflächenstrukturen als Graphen ab, die lokale Geometrie und elektronische Merkmale verbinden, und schätzt Adsorptionsenergien von Zwischenprodukten und Übergangszuständen.","Das Modell verbesserte die Energievorhersagen für Zwischenprodukte gegenüber thermodynamischen Skalierungsbeziehungen; seine Schätzungen für Übergangszustände waren mit Brønsted–Evans–Polanyi-Modellen vergleichbar. In ein Reaktionsnetz eingespeist, ergaben die vorhergesagten Energien Methanolausbeuten, die näher an Dichtefunktionaltheorie-Werten lagen. Es handelt sich um eine Computersimulation ohne experimentellen Nachweis der Katalysatorleistung."],"sections":[]},"corrections":[],"country":"DK","data":{"blocks":[{"columns":[{"key":"quantity","label":{"ar":"الكمية المبلغ عنها","de":"Berichtete Menge","en":"Reported quantity","es":"Cantidad comunicada","fr":"Quantité rapportée","pt":"Quantidade relatada","tr":"Ölçülen veya modellenen miktar"},"language":"en","type":"text"},{"key":"value","label":{"ar":"القيمة","de":"Wert","en":"Value","es":"Valor","fr":"Valeur","pt":"Valor","tr":"Değer"},"type":"number","unit":"count"},{"key":"study_scope","label":{"ar":"نطاق الدراسة المحدد","de":"Studienspezifischer Umfang","en":"Study-specific scope","es":"Alcance específico del estudio","fr":"Périmètre propre à l’étude","pt":"Âmbito específico do estudo","tr":"Çalışmaya özgü kapsam"},"language":"en","type":"text"}],"description":{"ar":"عدد عناصر التطعيم المختلفة في الفحص الحاسوبي؛ وليس محفزاً مصنعاً أو كمية إنتاج مقاسة.","de":"Zahl der im Computerscreening untersuchten Dotierstoffe; kein synthetisierter Katalysator und keine gemessene Produktion.","en":"Number of distinct dopants included in the computational screen; not a synthesized catalyst or measured production quantity.","es":"Número de dopantes distintos del cribado computacional; no es un catalizador sintetizado ni una producción medida.","fr":"Nombre de dopants distincts du criblage informatique; ce n’est ni un catalyseur synthétisé ni une production mesurée.","pt":"Número de dopantes distintos na triagem computacional; não é um catalisador sintetizado nem uma produção medida.","tr":"Hesaplamalı taramada ele alınan farklı katkı elementlerinin sayısı; sentezlenmiş katalizör ya da ölçülmüş üretim miktarı değildir."},"id":"study-result","methodology":{"ar":"تسرد الورقة Al وCd وGa وIn وZn لأسطح ZrO₂(101). واستُخدمت تقديرات الطاقة في نموذج الرسوم والحسابات الحركية الدقيقة.","de":"Der Beitrag führt Al, Cd, Ga, In und Zn für ZrO₂(101)-Oberflächen auf. Energieabschätzungen flossen in Graphenmodell und mikrokinetische Berechnungen ein.","en":"The paper lists Al, Cd, Ga, In and Zn for ZrO₂(101) surfaces. Energy estimates were used in graph-model and microkinetic calculations.","es":"El artículo enumera Al, Cd, Ga, In y Zn para superficies ZrO₂(101). Las estimaciones de energía se usaron en el modelo de grafos y los cálculos microcinéticos.","fr":"L’article liste Al, Cd, Ga, In et Zn pour les surfaces ZrO₂(101). Les estimations d’énergie alimentent le modèle par graphes et les calculs microcinétiques.","pt":"O artigo lista Al, Cd, Ga, In e Zn para superfícies ZrO₂(101). As estimativas de energia foram usadas no modelo de grafos e nos cálculos microcinéticos.","tr":"Makalede ZrO₂(101) yüzeyleri için sayılan Al, Cd, Ga, In ve Zn elementleri. Enerji tahminleri graf tabanlı model ve mikrokinetik hesaplamalarda kullanıldı."},"rowTranslations":[{"quantity":{"ar":"عدد عناصر التطعيم التي فُحصت على أسطح ZrO₂","de":"Auf ZrO₂-Oberflächen untersuchte Dotierstoffe","en":"Dopant elements screened on ZrO₂ surfaces","es":"Elementos dopantes evaluados en superficies de ZrO₂","fr":"Éléments dopants étudiés sur des surfaces de ZrO₂","pt":"Elementos dopantes avaliados em superfícies de ZrO₂","tr":"ZrO₂ yüzeylerinde incelenen katkı elementi sayısı"},"study_scope":{"ar":"عدد عناصر التطعيم المختلفة في الفحص الحاسوبي؛ وليس محفزاً مصنعاً أو كمية إنتاج مقاسة.","de":"Zahl der im Computerscreening untersuchten Dotierstoffe; kein synthetisierter Katalysator und keine gemessene Produktion.","en":"Number of distinct dopants included in the computational screen; not a synthesized catalyst or measured production quantity.","es":"Número de dopantes distintos del cribado computacional; no es un catalizador sintetizado ni una producción medida.","fr":"Nombre de dopants distincts du criblage informatique; ce n’est ni un catalyseur synthétisé ni une production mesurée.","pt":"Número de dopantes distintos na triagem computacional; não é um catalisador sintetizado nem uma produção medida.","tr":"Hesaplamalı taramada ele alınan farklı katkı elementlerinin sayısı; sentezlenmiş katalizör ya da ölçülmüş üretim miktarı değildir."}}],"rows":[{"quantity":"Dopant elements screened on ZrO₂ surfaces","study_scope":"Number of distinct dopants included in the computational screen; not a synthesized catalyst or measured production quantity.","value":5}],"sourceUrls":["https://arxiv.org/abs/2610.13795"],"title":{"ar":"نتيجة الدراسة المعلنة","de":"Berichtetes Studienergebnis","en":"Reported study result","es":"Resultado comunicado por el estudio","fr":"Résultat rapporté de l’étude","pt":"Resultado relatado pelo estudo","tr":"Bildirilen çalışma sonucu"},"type":"table","updatedAt":"2026-10-13T00:30:25Z"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026/data/study-result?lang=de&format=csv","json":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026/data/study-result?lang=de&format=json"},"id":"study-result"}],"data_types":["table"],"editorial_illustration":null,"event_id":"event-bce65c36-3f3c-517b-8ed9-79cc8b38c824","event_period":"2026-10-09","event_period_basis":"event-or-reference-period","id":"zirconia-catalyst-graph-machine-learning-screening-2026","image":null,"importance":0.6,"language":"de","modified_at":"2026-10-13T00:51:41+00:00","publication_basis":"publication-record","published_at":"2026-10-13T00:51:41+00:00","reading_minutes":1,"region":"world","section_illustration":null,"slug":"zirconia-catalyst-graph-machine-learning-screening-2026","sources":[{"checkedAt":"2026-10-13","name":"arXiv","publishedAt":"2026-10-09","url":"https://arxiv.org/abs/2610.13795"}],"summary":"Forschende der Universität Aarhus nutzten ein Graphenmodell, um Energien auf dotierten Zirkoniaoberflächen für die CO₂-Hydrierung abzuschätzen. In mikrokinetischen Berechnungen lagen die daraus abgeleiteten Methanolausbeuten näher an Ergebnissen der Dichtefunktionaltheorie als bei einem Verfahren mit linearen Beziehungen.","text":"Forschende der Universität Aarhus nutzten ein Graphenmodell, um Energien auf dotierten Zirkoniaoberflächen für die CO₂-Hydrierung abzuschätzen. In mikrokinetischen Berechnungen lagen die daraus abgeleiteten Methanolausbeuten näher an Ergebnissen der Dichtefunktionaltheorie als bei einem Verfahren mit linearen Beziehungen.\n\nUntersucht wurden Aluminium, Cadmium, Gallium, Indium und Zink als Dotierstoffe auf ZrO₂(101)-Oberflächen. Das WWL-GPR-Verfahren bildet Oberflächenstrukturen als Graphen ab, die lokale Geometrie und elektronische Merkmale verbinden, und schätzt Adsorptionsenergien von Zwischenprodukten und Übergangszuständen.\n\nDas Modell verbesserte die Energievorhersagen für Zwischenprodukte gegenüber thermodynamischen Skalierungsbeziehungen; seine Schätzungen für Übergangszustände waren mit Brønsted–Evans–Polanyi-Modellen vergleichbar. In ein Reaktionsnetz eingespeist, ergaben die vorhergesagten Energien Methanolausbeuten, die näher an Dichtefunktionaltheorie-Werten lagen. Es handelt sich um eine Computersimulation ohne experimentellen Nachweis der Katalysatorleistung.","title":"Graphenlernen verbessert Methanolausbeute-Schätzungen für dotierte Zirkonia-Katalysatoren","topics":[],"translations":[{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=tr","language":"tr","url":"https://newsverum.com/tr/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=en","language":"en","url":"https://newsverum.com/en/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=ar","language":"ar","url":"https://newsverum.com/ar/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=fr","language":"fr","url":"https://newsverum.com/fr/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=es","language":"es","url":"https://newsverum.com/es/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=de","language":"de","url":"https://newsverum.com/de/news/zirconia-catalyst-graph-machine-learning-screening-2026"},{"api_url":"https://newsverum.com/api/v1/articles/zirconia-catalyst-graph-machine-learning-screening-2026?lang=pt","language":"pt","url":"https://newsverum.com/pt/news/zirconia-catalyst-graph-machine-learning-screening-2026"}],"url":"https://newsverum.com/de/news/zirconia-catalyst-graph-machine-learning-screening-2026"},"version":"1"}