Results 221 to 230 of about 40,391 (296)

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era. [PDF]

open access: yesJ Chem Theory Comput
Li Z   +10 more
europepmc   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

open access: yesAdvanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger   +14 more
wiley   +1 more source

Laplace‐Pressure‐Stabilized Rutile Solid‐Solution Catalysts for Acidic Water Oxidation: Enabling DSA‐Inspired Compositions

open access: yesAdvanced Materials, EarlyView.
The miscibility of foreign elements in rutile‐type IrO2 and SnO2 is greatly enhanced under high Laplace pressure, where their crystal size is reduced to the nanoscale. This enhancement leads to the successful synthesis of DSA‐composition solid‐solution nanocatalysts with notable durability during the acidic OER in water electrolysis.
Chang Hyun Park   +7 more
wiley   +1 more source

Committors without Descriptors. [PDF]

open access: yesJ Chem Theory Comput
Kang P   +4 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Artificial Intelligence in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms. [PDF]

open access: yesResearch (Wash D C)
He Y   +9 more
europepmc   +1 more source

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