Results 181 to 190 of about 11,120 (260)

Performance Evaluation of Multi-Modal Radar Signal Processing in Dense Co-Existent Environments. [PDF]

Sensors (Basel)
Pirkani A, Norouzian F, Bekar A, Bekar M, Gashinova M.   +4 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Machine learning assisted masking of parasitic signals in Bragg coherent diffraction imaging. [PDF]

J Synchrotron Radiat
Bellec E, Leake SJ, Levi M, Rabkin E, Schülli TU, Richard MI.   +5 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Massive-scale spatial multiplexing of multimode VCSELs with a 3D-printed photonic lantern. [PDF]

Nat Commun
Dana Y, Shukhin K, Garcia Y, Kukin A, Kliot B, Peer M, Vered R, Roizman A, Marom DM.   +8 more
europepmc   +1 more source

Engineering of Crystal and Domain Structures in Epitaxial Y:HfO2 Thin Films by YSZ Substrate Miscut

Advanced Science, EarlyView.
We investigate how YSZ substrate miscut influences crystal structure and domain formation in epitaxial Y‐doped HfO2 thin films. Using magnetron sputtering, high‐resolution X‐ray diffraction, atomic‐resolution scanning transmission electron microscopy, and first‐principles calculations, we systematically examine the characteristics of thickness‐ and ...
Jun Young Lee, Hyung‐Jin Choi, Kun Hee Ye, Haneul Choi, Byeong‐hyeon Lee, Min‐Seok Kim, Dong‐Hun Han, June Hyuk Lee, Sung Ok Won, Tae Heon Kim, Hye Jung Chang, Jung‐Hae Choi, Seung‐Hyub Baek   +12 more
wiley   +1 more source

Soft X-rays with orbital angular momentum for resonant scattering experiments at Synchrotron SOLEIL. [PDF]

J Synchrotron Radiat
Carrara P, Fortuna F, Delaunay R, Vila-Comamala J, Rösner B, David C, Pizzini S, Fourniols C, Vila L, Pancaldi M, Spezzani C, Capotondi F, Nonnon P, Fanciulli M, Ruchon T, Jaouen N, Popescu H, Sacchi M.   +17 more
europepmc   +1 more source

Nanoscale Secondary Ion Mass Spectrometry for Quantifying Membrane Fouling: Fouling Layer Structure and Chemical Interaction

Advanced Science, EarlyView.
Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu, Xinhua Wang, Pin Zhao, Weilong Song, Ming Xie   +4 more
wiley   +1 more source

Other science opportunities at the FCC-ee. [PDF]

Eur Phys J Plus
Agapov I, Alp EE, Andre K, Antipov S, Apyan A, Arduini G, Bandiera L, Bartmann W, Bartosik H, Benedikt M, Bettoni S, Byrd JM, Calviani M, Camper A, Carli C, Casalbuoni S, Chance A, Craievich P, Crivelli P, Dalena B, Dickmann M, Doser M, Drebot I, Duchemin C, Dupraz K, Frasca A, Freeman SJ, Gunsing F, Jäckel J, King B, Krasny MW, Lechner A, Lindstrøm CC, Mazzolari A, Milardi C, Musa E, Negrello R, Nguyen F, Oide K, Papaphilippou Y, Paternò G, Petrillo V, Piotrzkowski K, Rienäcker B, Schnell G, Schroer C, Schulthess I, Serafini L, Shiltsev V, Stampanoni M, Variola A, Watson T, Wienands HU, Wing M, Zimmermann F.   +54 more
europepmc   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source