Results 111 to 120 of about 6,667 (254)

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

On the origin of acoustic emission in the stress-induced martensite regime of shape memory alloys. [PDF]

Nat Commun
Lauhoff C, Weidner A, Lehnert R, Reul A, Pham T, Gutmann MJ, Krooß P, Schmahl WW, Biermann H, Seiner H, Niendorf T.   +10 more
europepmc   +1 more source

Environment-Induced Degradation of Shape Memory Alloys: Role of Alloying and Nature of Environment. [PDF]

Materials (Basel), 2023
Santosh S, Harris WBJ, Srivatsan TS.
europepmc   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Phenomenological Modeling of Shape Memory Alloys: A Review of Macroscopic Approaches. [PDF]

Micromachines (Basel)
Costanza G, Tata ME, Barforooshi SD.
europepmc   +1 more source

Influence of Dynamic Strain Sweep on the Degradation Behavior of FeMnSi-Ag Shape Memory Alloys. [PDF]

J Funct Biomater, 2023
Roman AM, Cimpoeșu R, Pricop B, Lohan NM, Cazacu MM, Bujoreanu LG, Panaghie C, Zegan G, Cimpoeșu N, Murariu AM.   +9 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

Shape memory alloys for cryogenic actuators. [PDF]

Commun Eng
Sato S, Tobe H, Sawada K, Tokoku C, Nakagawa T, Sato E, Araki Y, Xu S, Xu X, Omori T, Kainuma R.   +10 more
europepmc   +1 more source

Additive Manufacturing of Fe-Mn-Si-Based Shape Memory Alloys: State of the Art, Challenges and Opportunities. [PDF]

Materials (Basel), 2023
Del-Río L, Nó ML, Gómez R, García-Sesma L, Urionabarrenetxea E, Ortega P, Mancisidor AM, San Sebastian M, Burgos N, San Juan JM.   +9 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