Results 231 to 240 of about 31,116 (305)

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Improved Somatotopic Consistency of EEG Source Localization Using a Personalized Segmentation-Free Head Model. [PDF]

Brain Topogr
Tada Y, Hirata A, Kubota Y, Fukunaga M, Wasaka T.   +4 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Dual computational systems in the development and evolution of mammalian brains. [PDF]

Sci Adv
Imam N, Kielo M, Trude BM, Finlay BL.
europepmc   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Optimal error estimates of the diffuse domain method for second order parabolic equations. [PDF]

BIT Numer Math
Hao W, Ju L, Xu Y.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A fourth-order exponential time differencing scheme with real and distinct poles rational approximation for solving non-linear reaction-diffusion systems. [PDF]

J Comput Appl Math
Attipoe WK, Kleefeld A, Asante-Asamani EO.   +2 more
europepmc   +1 more source

3D Interconnected Zn‐Ion Pathways Through Anionic Nanochannels Surrounding Bacterial Cellulose Nanofibers by Repetitive Interfacial Assembly for Aqueous Zn‐Ion Battery Separators

Advanced Energy Materials, EarlyView.
A repetitive interfacial assembly method is introduced to prepare a nanofibrillar separator with interconnected 3D anionic nanochannels for aqueous zinc‐ion batteries. The carboxylate‐rich nanochannels promote enhancements of Zn2+ ion transport and charge transfer at the electrode surface, and the 3D nanostructured hydrogels contribute to homogeneous ...
Wonseok Choi, Amith Abraham, Eun‐Ji Jang, Byoung‐In Sang, Young‑Hoon Kim, Hyung‐Kyu Lim, Bongjun Yeom   +6 more
wiley   +1 more source

S-shaped Utility Maximization with VaR Constraint and Partial Information. [PDF]

J Optim Theory Appl
Zhu D, Davey A, Zheng H.
europepmc   +1 more source