Results 181 to 190 of about 120,268,381 (251)

Dual‐State Programmable Oxide Transistor for Time‐Based Cryptography

Advanced Materials, EarlyView.
A DUPOT enables independently tunable Vth and Isat depending on gate bias polarity, producing three‐dimensional dynamical behavior within a transfer characteristic. This behavior originates from charge trapping and oxygen‐ion migration in the HfO2 layer.
Huisu Noh, Min Gu Lee, Hwayoung Kim, Myeongchan Ko, Jungwan Noh, Taewook Go, Jingyao Yu, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +9 more
wiley   +1 more source

Generating solutions for charged compact configurations in f(R) gravity. [PDF]

PLoS One
Noureen I, Mardan SA, Zahra A, Anwar I.
europepmc   +1 more source

Poly(Alkoxythiophene) Rod‐Coil Block Copolymers for Organic Electrochemical Transistors

Advanced Materials, EarlyView.
We present the first synthesis of poly(3‐alkoxythiophene) rod‐coil block copolymers as a new architecture for OMIECs. Incorporating PEG and PLLA coils can enhance device performance beyond the homopolymer. The figure‐of‐merit depends uniquely on coil length.
Junfu Tian, Wentao Shan, Rachael Found, Paola Mantegazza, Francesco Leoni, Andreas W. Erhardt, Yuyun Yao, Matus Stredansky, Arianna Magni, Adam Marks, Elena Chulanova, Zeinab Hamid, Yueying Huang, Wanpeng Lu, Xian'e Li, Baopu Zhang, Qingpei Wan, Christina Kousseff, Matilde Concilio, Ruth Theresia Arwani, Caroline A. Ross, Sahika Inal, Giovanni Costantini, Iain McCulloch   +23 more
wiley   +1 more source

Analytical Solution for Thermal Buckling of Functionally Graded Graphene Origami-Enabled Auxetic Metamaterial Cylindrical Shells. [PDF]

Nanomaterials (Basel)
Zhu Z, Zhao N, Zhou Y, Lu J.
europepmc   +1 more source

Elasticity‐Driven Periodic Polarization Patterns in a Chiral Ferroelectric Nematic Fluid

Advanced Materials, EarlyView.
Chiral polar ferroelectric nematic fluids exhibit spontaneous formation of stripe, square, and hexagonal polarization textures under confinement. Controlled by thickness and anchoring, these patterns produce spatially modulated nonlinear optical responses.
Anej Sterle, Peter Medle Rupnik, Luka Cmok, Aitor Erkoreka, Marta Lavrič, Natan Osterman, Calum J. Gibb, Jordan Hobbs, Josu Martinez‐Perdiguero, Richard J. Mandle, Alenka Mertelj, Nerea Sebastián   +11 more
wiley   +1 more source

Beyond empirical models: Discovering constitutive laws in solids with graph-based equation discovery. [PDF]

Sci Adv
Xu H, Chen Y, Zhang D.
europepmc   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Epitaxially Integrated Electro‐Optic KNbO3 Thin Films on Silicon

Advanced Materials, EarlyView.
We demonstrate the first epitaxial integration of electro‐optic KNbO3 thin films on silicon using suboxide molecular‐beam epitaxy. Combining adsorption‐controlled molecular‐beam epitaxy, advanced characterization, and phase‐field modeling, we demonstrate phase‐pure crystalline films mirroring bulk crystals with robust Pockels response, enabling future ...
Sankalpa Hazra, Tobias Schwaigert, Yingxin Zhu, Aiden Ross, Muhammad Aminul Haque Chowdhury, Shun‐Li Shang, Sameer Singh, Zhiyu Zhang, Zhe Wang, Brynn Brower, Saugata Sarker, Suchismita Sarker, Zi‐Kui Liu, Rama K. Vasudevan, Long‐Qing Chen, Yang Yang, Darrell G. Schlom, Venkatraman Gopalan   +17 more
wiley   +1 more source

Intelligent prediction of thermodynamic performance in MHD Oldroyd B trihybrid nanofluids using artificial neural networks. [PDF]

Discov Nano
Aamir M, Maatki C, Abbasi AZ, Alsayegh R, Kriaa K, Hassen W, Kolsi L.   +6 more
europepmc   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source