Results 121 to 130 of about 6,630 (193)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Computational design of metallohydrolases. [PDF]

Nature
Kim D, Woodbury SM, Ahern W, Tischer D, Kang A, Joyce E, Bera AK, Hanikel N, Salike S, Krishna R, Yim J, Pellock SJ, Lauko A, Kalvet I, Hilvert D, Baker D.   +15 more
europepmc   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Navigating structure-based drug discovery with emerging innovations in physics- and knowledge-based approaches. [PDF]

NPJ Drug Discov
Lam JH, Katritch V.
europepmc   +1 more source

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

Advanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source

Modeling bacterial growth and Allee effect via Allen-Cahn theoretical framework. [PDF]

Sci Rep
Maslovskaya A, Kuttler C, Shuai Y, Chebotarev A, Kovtanyuk A.   +4 more
europepmc   +1 more source

Laser‐Assisted Phase Engineering of 2D MoS2 for Efficient Solution‐Processed Electronics

Advanced Materials, EarlyView.
Here, local laser‐assisted phase transition from solution‐processed phase‐pure 1T′ to 2H MoS2 is shown to critically depend on the irradiation atmosphere. While processing in air leads to damaged insulating regions, inert conditions yield semiconducting 2H domains, enabling direct field‐effect transistor patterning with optimized lateral 1T′‐2H MoS2 ...
Anna Zhuravlova, Minjuan Li, Osamah Alharbi, Yeonsu Jeong, Bin Han, Lei Gao, Mischa Bonn, Mario Lanza, Sheng Yang, Antonio Gaetano Ricciardulli, Paolo Samorì   +10 more
wiley   +1 more source

Formal verification of bioinformatics software using model checking and theorem proving. [PDF]

Brief Bioinform
Weerasena H, Jayasena A, Boucher C, Mishra P.   +3 more
europepmc   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

A Bi-level optimization method for integrated warehouse design, storage location assignment, and order picking. [PDF]

MethodsX
Moghadam MF, Khalili Damghani K, Ghezavati V, Komijan AR.   +3 more
europepmc   +1 more source