Li2Mn2(PO4)3

高熵材料 HEA

MP-ID: mp-778246 · 空间群: C2/c (#15)

Materials Project API

基础信息

化学式

Li2Mn2(PO4)3

MP-ID

mp-778246

元素数

位点数

密度

2.9614

g/cm³

体积

458.31

Å³

晶胞参数 a

8.5992

晶胞参数 b

8.5992

晶胞参数 c

8.8004

α 角

59.42

β 角

59.42

γ 角

60.68

空间群

C2/c

点群

2/m

晶体系统

Monoclinic

布拉维格子

Monoclinic C

稳定性

否

堆积分数

0.5240

X 射线衍射

衍射图谱

靶材 / 辐射源

横轴为 2θ (°)，纵轴为相对强度，CuKa ， λ=1.5406 Å

衍射峰（Top 24）

2θ	d (Å)	I	hkl
14.33	6.1826	53.6	(1,0,1)
14.78	5.9945	9.0	(1,1,0)
20.18	4.4002	41.1	(1,1,2)
20.45	4.3438	16.2	(1,-1,0)
20.61	4.3100	63.3	(1,0,-1)
20.67	4.2974	94.0	(2,1,1)
23.83	3.7346	91.5	(1,0,2)
24.04	3.7025	96.6	(2,0,1)
24.52	3.6306	89.5	(2,1,0)
25.05	3.5542	1.6	(0,0,2)
25.16	3.5401	9.2	(2,2,2)
28.88	3.0913	100.0	(2,0,2)
29.81	2.9973	34.4	(2,2,0)
31.79	2.8149	16.4	(2,-1,0)
31.90	2.8056	20.3	(1,0,-2)
32.06	2.7920	15.3	(2,0,-1)
32.21	2.7793	29.4	(2,1,3)
32.63	2.7442	24.4	(3,1,2)
33.26	2.6939	21.4	(3,2,1)
35.55	2.5253	14.7	(1,0,3)
35.90	2.5014	25.7	(2,-1,-1)
35.94	2.4989	12.9	(3,0,1)
36.19	2.4820	15.6	(1,1,-2)
36.42	2.4670	11.4	(3,1,0)

获取直接链接

能量属性

形成能/原子

-2.45532

eV/atom

能量/原子

-7.60079

eV/atom

凸包距离

0.0296

eV/atom

未修正能量

-6.9913

eV/atom

体积/原子

12.06

Å³

c/a 比

电子属性

金属性

金属

带隙

直接带隙

否

导带底 CBM

N/A

磁性属性

磁性

是

总磁矩

13.9997

μB

磁有序

磁性位点数

磁化强度/体积

0.030550

μB/Å³

弹性属性

弹性数据暂不开放

特征分析

组成概览

元素组成（原子分数）

组成信息

主元 / 基质元素

O · 0.632

元素家族

Metalloid-Nonmetal

溶质分数

0.368

间隙分数

0.158

高熵合金特征

综合指标雷达（归一化）

元素类别占比

混合熵 ΔS/R

1.0556

高熵判据（>1.0 视为高熵）

混合熵 ΔS

8.7765

J/mol·K

Ω 参数

0.2377

Ω > 1.1 利于固溶体形成

原子尺寸错配 δr

40.096%

δr < 6.6% 利于单相固溶

电负性差 Δχ

0.9112

越小混合越稳定

价电子浓度 VEC

4.158

价电子浓度，影响相稳定性

混合焓 ΔH_mix

-10.795

kJ/mol 且负值为放热混合

熵归一化

0.7615

固溶体倾向

相趋势

关联任务

关联的计算任务 ID（2 个）

aaabzkge aaadzgvz

引用参考

Materials Project 官方页面

https://materialsproject.org/materials/mp-778246

参考引用

The crystal structure and related material properties of Li2Mn2(PO4)3 were obtained from the Materials Project database (MP-ID: mp-778246, database version v2026.04.13).

文献引用

Horton, M.K., Huck, P., Yang, R.X. et al. Accelerated data-driven materials science with the Materials Project. Nat. Mater. 24, 1522–1532 (2025). https://doi.org/10.1038/s41563-025-02272-0

BibTeX

@article{Horton2025,
  author  = {Horton, Matthew K. and Huck, Patrick and Yang, Ruo Xi and Munro, Jason M. and Dwaraknath, Shyam and Ganose, Alex M. and Kingsbury, Ryan S. and Wen, Mingjian and Shen, Jimmy X. and Mathis, Tyler S. and Kaplan, Aaron D. and Berket, Karlo and Riebesell, Janosh and George, Janine and Rosen, Andrew S. and Spotte-Smith, Evan W. C. and McDermott, Matthew J. and Cohen, Orion A. and Dunn, Alex and Kuner, Matthew C. and Rignanese, Gian-Marco and Petretto, Guido and Waroquiers, David and Griffin, Sinead M. and Neaton, Jeffrey B. and Chrzan, Daryl C. and Asta, Mark and Hautier, Geoffroy and Cholia, Shreyas and Ceder, Gerbrand and Ong, Shyue Ping and Jain, Anubhav and Persson, Kristin A.},
  title   = {Accelerated data-driven materials science with the Materials Project},
  journal = {Nature Materials},
  year    = {2025},
  volume  = {24},
  number  = {10},
  pages   = {1522--1532},
  month   = {oct},
  doi     = {10.1038/s41563-025-02272-0},
  issn    = {1476-4660},
  url     = {https://doi.org/10.1038/s41563-025-02272-0},
  abstract = {The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and collaborative in nature. Next, we present cases where the Materials Project was used to understand and discover functional materials. We then describe our efforts to meet the needs of an expanding user base, through technical infrastructure updates ranging from data architecture and cloud resources to interactive web applications. Finally, we discuss opportunities to better aid the research community, with the vision that more accessible and easy-to-understand materials data will result in democratized materials knowledge and an increasingly collaborative community.}
}

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原始 CIF 数据

# generated using pymatgen
data_Li2Mn2(PO4)3
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   8.59917623
_cell_length_b   8.59917623
_cell_length_c   8.80041237
_cell_angle_alpha   59.41610359
_cell_angle_beta   59.41610359
_cell_angle_gamma   60.68197389
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Li2Mn2(PO4)3
_chemical_formula_sum   'Li4 Mn4 P6 O24'
_cell_volume   458.31001499
_cell_formula_units_Z   2
loop_
 _symmetry_equiv_pos_site_id
 _symmetry_equiv_pos_as_xyz
  1  'x, y, z'
loop_
 _atom_site_type_symbol
 _atom_site_label
 _atom_site_symmetry_multiplicity
 _atom_site_fract_x
 _atom_site_fract_y
 _atom_site_fract_z
 _atom_site_occupancy
  Li  Li0  1  0.32575500  0.17425400  0.55290400  1.0
  Li  Li1  1  0.82574600  0.67424500  0.94709600  1.0
  Li  Li2  1  0.17425400  0.32575500  0.05290400  1.0
  Li  Li3  1  0.67424500  0.82574600  0.44709600  1.0
  Mn  Mn4  1  0.86143600  0.35961400  0.85547500  1.0
  Mn  Mn5  1  0.64038600  0.13856400  0.64452500  1.0
  Mn  Mn6  1  0.35961400  0.86143600  0.35547500  1.0
  Mn  Mn7  1  0.13856400  0.64038600  0.14452500  1.0
  P  P8  1  0.53275200  0.46724800  0.25000000  1.0
  P  P9  1  0.46724800  0.53275200  0.75000000  1.0
  P  P10  1  0.24811800  0.03953900  0.96391200  1.0
  P  P11  1  0.96046100  0.75188200  0.53608800  1.0
  P  P12  1  0.03953900  0.24811800  0.46391200  1.0
  P  P13  1  0.75188200  0.96046100  0.03608800  1.0
  O  O14  1  0.48826800  0.36127200  0.71881300  1.0
  O  O15  1  0.86798300  0.20459000  0.50418300  1.0
  O  O16  1  0.72073700  0.45582400  0.07867600  1.0
  O  O17  1  0.70739600  0.96792100  0.88314500  1.0
  O  O18  1  0.36127200  0.48826800  0.21881300  1.0
  O  O19  1  0.54417600  0.27926300  0.42132400  1.0
  O  O20  1  0.08202400  0.22968500  0.94290500  1.0
  O  O21  1  0.41451000  0.05719800  0.76998000  1.0
  O  O22  1  0.77031500  0.91797600  0.55709500  1.0
  O  O23  1  0.03207900  0.29260400  0.61685500  1.0
  O  O24  1  0.05719800  0.41451000  0.26998000  1.0
  O  O25  1  0.79541000  0.13201700  0.99581700  1.0
  O  O26  1  0.20459000  0.86798300  0.00418300  1.0
  O  O27  1  0.94280200  0.58549000  0.73002000  1.0
  O  O28  1  0.96792100  0.70739600  0.38314500  1.0
  O  O29  1  0.22968500  0.08202400  0.44290500  1.0
  O  O30  1  0.58549000  0.94280200  0.23002000  1.0
  O  O31  1  0.91797600  0.77031500  0.05709500  1.0
  O  O32  1  0.45582400  0.72073700  0.57867600  1.0
  O  O33  1  0.63872800  0.51173200  0.78118700  1.0
  O  O34  1  0.29260400  0.03207900  0.11685500  1.0
  O  O35  1  0.27926300  0.54417600  0.92132400  1.0
  O  O36  1  0.13201700  0.79541000  0.49581700  1.0
  O  O37  1  0.51173200  0.63872800  0.28118700  1.0

获取直接链接