Electron-beam irradiation limits atomic-resolution characterization of beam-sensitive hybrid materials, yet quantitative models that connect \textit{in situ} spectroscopy to dose-dependent degradation remain scarce. Here we use a physics-informed neural network (PINN) to model beam-induced spectral evolution in MIL-101(Fe) from an in situ low-loss electron energy-loss spectroscopy (EELS) dose series. Each spectrum is reduced to fixed-window low-loss descriptors, $\tilde n_{\mathrm{eff},j}(Φ)=\int_{\mathcal{W}_j}S(E,Φ)\,dE$, evaluated over nominal $π$--$π^{*}$, C--C, C--O, and M--O windows. These descriptors are relative window-integrated low-loss spectral areas, not absolute f-sum-rule effective electron numbers. For each spectral channel, a latent integrity variable $C_i(Φ)$ obeys the same uncoupled power-law degradation equation in normalized dose space, $dC_i/dϕ=-k_i C_i^{p_i}$, regularized by monotonicity, boundedness, and a single hierarchy prior $k_{\mathrm{C\text{-}O}}\geq k_{\mathrm{C\text{-}C}}$. Applied to nine dose frames spanning 152--1368~e$^-$/Å$^2$, the ensemble PINN identifies C--O and C--C as the most strongly dose-sensitive linker-associated channels, with half-integrity thresholds of approximately $1.0\times10^3$~e$^-$/Å$^2$. The 1--3~eV $π$--$π^{*}$-labelled window increases with dose and is therefore interpreted as a mixed low-energy response, likely involving oscillator-strength redistribution rather than direct monotonic loss of a single bond population. The framework provides a dose-dependent, spectroscopy constrained description of MOF degradation while also defining the limits of what fixed-window low-loss EELS can assign without independent chemical-state validation.
Low-Dose 3D Bonding Mapping Through "Soft" Core-Loss EELS Tomography and Unsupervised Deep Learning
Université de Lille（里尔大学）；Instituto de Nanociencia y Materiales de Aragon (INMA), CSIC-U. de Zaragoza（阿拉贡纳米科学与材料研究所（INMA），萨拉戈萨大学/西班牙国家研究委员会）；Univ. Grenoble Alpes, CEA, Leti（格勒诺布尔阿尔卑斯大学，法国原子能和替代能源委员会，技术研究所）；Centre d’Elaboration de Matériaux et d’Etudes Structurales (CEMES), University of Toulouse and CNRS（材料与结构研究制备中心（CEMES），图卢兹大学及法国国家科学研究中心）；Univ. Lille, FR 2638-IMEC-Institut Michel-Eugène Chevreul（里尔大学，FR 2638-IMEC-米歇尔·欧仁·谢弗勒尔研究所）；CEA, Joliot, NeuroSpin（法国原子能和替代能源委员会，若利奥神经影像中心）；Inria, MIND, Université Paris-Saclay（法国国家信息与自动化研究所，MIND团队，巴黎萨克雷大学）；Department of Inorganic and Organic Chemistry, Inorganic Chemistry Section, University of Barcelona（巴塞罗那大学无机与有机化学系，无机化学教研室）；Institute of Nanoscience and Nanotechnology (IN2UB), Universitat de Barcelona（巴塞罗那大学纳米科学与纳米技术研究所（IN2UB））；Department of Materials Science and Engineering, Ångström Laboratory, Uppsala University（乌普萨拉大学昂斯特实验室材料科学与工程系）；LENS-MIND, Departament d'Enginyeria Electrònica i Biomèdica, Universitat de Barcelona（巴塞罗那大学电子与生物医学工程系，LENS-MIND）；Laboratorio de Microscopias Avanzadas, Universidad de Zaragoza（萨拉戈萨大学先进显微术实验室）
School of Applied and Engineering Physics, Cornell University（康奈尔大学应用与工程物理学院）；Department of Physics, Cornell University（康奈尔大学物理系）；Kavli Institute at Cornell for Nanoscale Science（康奈尔大学卡夫利纳米科学研究所）
Predictive autoencoder-transformer model of Cu oxidation state from EELS and XAS spectra
Brookhaven National Lab（布鲁克海文国家实验室）；Binghamton University（宾汉顿大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of California, Berkeley（加州大学伯克利分校）
Local thickness and composition measurements from scanning convergent-beam electron diffraction of a binary non-crystalline material obtained by a pixelated detector
Continuous three-dimensional imaging of nanoscale dynamics by in situ electron tomography
University of Antwerp（安特卫普大学）；CIC biomaGUNE, Basque Research and Technology Alliance (BRTA)（CIC生物医学研究所，巴斯克研究与技术联盟）；Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)（生物、生物材料和纳米医学研究网络中心）；Ikerbasque, Basque Foundation for Science（Ikerbasque，巴斯克科学基金会）；CINBIO, University of Vigo（维戈大学CINBIO研究中心）
Transverse quantum-state characterization of programmable electron optics
Friedrich-Alexander-Universität Erlangen-Nürnberg（弗里德里希·亚历山大埃尔朗根-纽伦堡大学）；CNR Istituto Nanoscienze（意大利国家研究委员会纳米科学研究所）；CNR Istituto per lo Studio dei Materiali Nanostrutturati（意大利国家研究委员会纳米结构材料研究所）；Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons, Forschungszentrum Jülich（于利希研究中心恩斯特·鲁斯卡电子显微镜与光谱学中心）
